首页> 外文会议>International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering - Bioinformatics and Biomedical Engineering >Prototype of Application Multi-Objective Genetic Algorithm Using Multi- Threading Strategy with Thinking Design Approach Method for Optimization Design DNA Primer and DNA Probe
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Prototype of Application Multi-Objective Genetic Algorithm Using Multi- Threading Strategy with Thinking Design Approach Method for Optimization Design DNA Primer and DNA Probe

机译:应用多目标遗传算法的思维设计方法优化设计DNA引物和DNA探针的思想设计方法原型

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An application prototype with design thinking approach method using 5 stages Empathize, Define, Ideate, Prototype and Test. The design thinking approach involves several experts. Expert of Genetic Algorithm, Molecular Biology and some Experts from East West Seed Indonesia company (EWINDO) who is user of this application. The application used by EWINDO at this time, can only design 20 - 40 primers and probes in a day or 8 working hours. The result of design thinking approach with some experts is the application can design some Deoxyribonucleic Acid (DNA) primers and DNA probes in 1 time process for each sequence, and sequences are inserted into the application will be more than 1. Design DNA primer and DNA probe have many parameters. The parameters are Product Length (amplicon), DNA Length, Repetition, Temperature Melting, GC Content, GC Clamp, Primary Secondary Structure, Self and Pair Complementary, Specificity and Mismatch. Multi Objective Genetic Algorithms (MOGA) with a multi-threading strategy can solve this problem. MOGA in this case is the number of objective functions possessed Genetic Algorithm (GA). The objective function is the parameter used for the design DNA primer and DNA probe. Multi objective is used to calculate the fitness value, where each objective function will be summed to be the fitness value. The design process for Any DNA sequence inserted into the application will be given 1 thread, or n sequence = n thread. This multi-threading strategy can accelerate the design with many DNA sequences for a one-time process. Currently development of application prototype has been completed. The next stage of testing, improvement and recommendations. Testing and improving the design of the DNA primer and DNA probe based on the parameters, for recommendation is experiment result of variation of combination of GA parameter.
机译:具有设计思维方法方法的应用原型使用5级同情,定义,想象,原型和测试。设计思维方式涉及若干专家。遗传算法专家,分子生物学和来自东西部的印度尼西亚公司(EWINDO)的一些专家是本申请的用户。此时eWindo使用的应用程序,只能在一天或8个工作时间内设计20 - 40个引物和探针。设计思维方法与某些专家的结果是应用可以在每种序列的1时间过程中设计一些脱氧核糖核酸(DNA)引物和DNA探针,并且将序列插入施用中将大于1.设计DNA引物和DNA。探针有很多参数。参数是产品长度(扩增子),DNA长度,重复,重复,温度熔化,GC含量,GC夹,初级二级结构,自身和对互补,特异性和不匹配。具有多线程策略的多目标遗传算法(MOGA)可以解决这个问题。在这种情况下,MOGA是具有遗传算法(GA)的客观函数的数量。目标函数是用于设计DNA引物和DNA探针的参数。多目标用于计算健身值,其中每个目标函数将总结为健身值。插入应用中的任何DNA序列的设计过程将给出1个螺纹,或n个序列= n螺纹。这种多线程策略可以通过许多DNA序列加速设计进行一次性过程。目前已完成应用程序原型的开发。下一阶段的测试,改进和建议。基于参数测试和改善DNA引物和DNA探针的设计,推荐是GA参数组合变化的实验结果。

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